The First Token Is Not the Verdict: Hidden Costs of Reading LLM Judges Without Generating
Reading an LLM judge's verdict from its first generated token is cheap but inaccurate because it distorts position bias. This method overstates position bias, making figures obtained this way unreliable as accurate measures of judgment. The distortion is most pronounced when the model does not lead with a verdict token, meaning the readout misleads auditors rather than users.